Investigation into the Effect of Atmospheric Particulate Matter (PM2.5 and PM10) Concentrations  on GPS Signals

Lau, Lawrence; He, Jun

doi:10.3390/s17030508

Cited by 10 publications

(7 citation statements)

References 25 publications

(33 reference statements)

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“…So we need to further discuss the reasons for the analyzed correlation. The correlation between ZWD and PM2.5 concentration is not due to the direct influence of atmospheric particulate matter on the GNSS signal because the atmospheric PM2.5 concentrations have a negligible effect on GPS signals and the effect is comparable with the noise level of GPS measurements [47]. In fact, ZWD is often used to determine atmospheric precipitation water vapor (PWV) in GNSS meteorology, and is basically linear to PWV, which comes from two aspects, external input and surface evaporation.…”

Section: Discussionmentioning

confidence: 96%

Short-Term PM2.5 Concentration Prediction by Combining GNSS and Meteorological Factors

Wen

Dang

Li³

2020

IEEE Access

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With the development of industrialization, fine particulate matter (PM2.5) severely chills the health of people. Studies have shown that the variation of PM2.5 concentration is related to the Global Navigation Satellite System (GNSS) tropospheric delay. Therefore, it is possible to use the widely distributed continuous operation reference station (CORS) to monitor and predict PM2.5 concentrations with high time resolution. In this paper, the zenith wet delay (ZWD) of five CORS located in Baoding, Hebei Province, China, from Sep 2014 to Feb 2015, is calculated firstly. Then, the correlation between PM2.5 and ZWD is investigated. Finally, the experimental data including PM2.5, ZWD, temperature, air pressure, and relative humidity data sampled in one hour are used to establish PM2.5 concentrations online prediction model based on support vector machine regression (SVMR) model with metabolic method. The experimental results show that in autumn and winter, the correlation coefficient between daily-mean PM2.5 and ZWD is mainly larger than 0.4, and the correlation coefficient between hourly mean PM2.5 and ZWD is mainly larger than 0.3. Meanwhile, in daily cycle analysis, air temperature, air pressure and relative humidity are related to PM2.5 concentration. Finally, Using SVMR model with metabolic method, by combining GNSS and meteorological factors, ideal short-term prediction accuracy is achieved, which shows that the use of GNSS and meteorological factors is potential in predicting PM2.5 concentration.

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Section: Discussionmentioning

confidence: 96%

Short-Term PM2.5 Concentration Prediction by Combining GNSS and Meteorological Factors

Wen

Dang

Li³

2020

IEEE Access

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“…9 Dependency of the RSL local variance from the particulate concentration in an outdoors environment: experimental data and model data obtained by the Eq. (1) frequency, because the cross polarization counteracts the optimum frequency spectrum utilization.…”

Section: Resultsmentioning

confidence: 99%

“…Particles suspended in the atmosphere due to particulate matter emission can have consequences on the electromagnetic wave propagation [1][2][3]. The electromagnetic wave signal may suffer from attenuation and cross polarization upon encounter with the suspended particles.…”

Section: Introductionmentioning

confidence: 99%

Air pollution effects on the intensity of received signal in 3G/4G mobile terminal

Sciuto

2019

Int J Energy Environ Eng

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In this paper, the existence of the interaction between the atmospheric particulate and the electromagnetic waves attenuation in the frequency band used by the 3G/4G mobile network was investigated. A few papers present in literature indicate, in presence of air pollution, the possibility of a significant cross polarization of the electromagnetic waves, while none of the papers indicated the possibility of a significant attenuation. This paper has tried to partially fill this gap of knowledge in this field with some new contributions. In all the experiments performed at the department of electrical, electronics and informatics engineering in the University of Catania (87 experiments each one lasting about 36 min), significant variations have not been found in the received signal level (RSL), while a polynomial dependency of the RSL local variance from the particulate concentration has been found. To demonstrate that the results obtained in the laboratory have general validity, a campaign test was conducted in an outdoors environment in the frequency band used by the 3G/4G mobile network. The site of the considered measurement station is selected to represent a typical residential area with high traffic influences in the city of Catania. Also, in this measures campaign conducted in the outdoors environment in the 3G/4G frequency band, significant variations have not been found in the RSL. While a marked dependence of the RSL local variance from the PM 10 concentration has been found. This is a noteworthy result, because certain non-negligible RSL local variance variations indicate the possibility of a pronounced cross polarization. The impact of the cross polarization becomes significant for systems reusing frequency, because the cross polarization counteracts the optimum frequency spectrum utilization.Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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“…Finally, we utilized literatures which indicated that water vapour takes out aerosol from the atmosphere that usually occur as a result of particulate matter (PM) floating in the air/gas or dissolved in water. PM are a major contributor of aerosol constituents in the troposphere from which the PWV is derived using the GPS ZTD signal (Lau and He, 2017). It has been established that PWV and particulates (aerosols) have a significant inverse relationship (Gui et al, 2017a).…”

Section: Data Analysis Approachmentioning

confidence: 99%

“…Air pollution remains a serious environmental challenge in many developing countries (Lau and He, 2017). Nigeria accommodates Africa's largest sophisticated population, many of whom continue to migrate to the high-density settlements that surround the urban cities.…”

Section: Introductionmentioning

confidence: 99%

Appraising the effects of atmospheric aerosols and ground particulates concentrations on GPS-derived PWV estimates

Aliyu

Botai

2018

Atmospheric Environment

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In 2016, three Nigerian cities were listed amongst the World's most polluted in terms of particulate matter (PM). Acknowledging Nigeria's limited resources for outdoor air pollution monitoring, this study attempts to investigate the effects on atmospheric aerosol optical depth and ground PM on GPS derived-precipitable water vapour estimates. The study utilized available GPSderived precipitable water vapour (GPSPWV), the moderate resolution imaging spectroradiometer aerosol optical depth (MODISAOD) and the ground level particulate matter of less than 10 microns (GPM) datasets for December 2015 -November 2016. All the datasets were tested for normality. To evaluate the atmospheric aerosol properties, the MODISPWV estimates were pre-validated using the GPSPWV measurements. The results revealed GPSPWV-MODISPWV agreement (R = 0.964; RMSE = 3.810 mm). The GPSPWV-MODISAOD analysis showed relationship (R ≤ -0.636; RMSE ≤ 0.563) for the atmospheric aerosol experiment, while the collocating GPSPWV-GPM seasonal analysis also revealed significant correlation (R < -0.660). The correlation of combined seasonal datasets for the GPSPWV-MODISAOD and GPSPWV-GPM relationships showed high negative correlation values of 0.79 and 0.68 respectively. The findings of this study is in agreement with similar related studies, as well as serve as future position accuracy for similar related studies.

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Investigation into the Effect of Atmospheric Particulate Matter (PM2.5 and PM10) Concentrations on GPS Signals

Cited by 10 publications

References 25 publications

Short-Term PM2.5 Concentration Prediction by Combining GNSS and Meteorological Factors

Short-Term PM2.5 Concentration Prediction by Combining GNSS and Meteorological Factors

Air pollution effects on the intensity of received signal in 3G/4G mobile terminal

Appraising the effects of atmospheric aerosols and ground particulates concentrations on GPS-derived PWV estimates

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